The locality of Beijing historic areas from a dynamic perspective based on geo-tagged photos

Fang, Wang; Hu, Wenying; Zhu, Yixin; Jiang, Chunyan

doi:10.1108/ijtc-12-2017-0089

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…Image material can be actively acquired by the researcher to explore the contribution of the variation between the feature elements to perception [35] or by having the subject evaluated [36,37]. Images can also be provided by users, and the acquisition of web images is effectively a passive participatory approach, with large amounts of image data being used to explore correlations between street elements [38] and the distribution of visitor interest in the historic district [39]. Based on City Imagery Theory, the subjects can also actively point out visual or impressionistic elements.…”

Section: Environmental Perceptionmentioning

confidence: 99%

A Study on the Perception of Local Characteristics in Cultural Street Vending Spaces, Taking Xi’an Baxian Temple as an Example

Qi,

Yue,

Guo

et al. 2024

Buildings

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The mode of urban renewal in China has changed from incremental expansion to a value-added stage, and the development of cities has increasingly focused on the human experience and quality improvement. However, Cultural Street Vending and the unique street spaces in the historic districts that bear important connotations to the city have shown a trend of rapid decline and even disappearance. Therefore, how to identify the characteristics and connotations of such street vending spaces, grasp the relationship between perception of locality and built environment elements in different states and formulate targeted protection and renewal strategies is presently an urgent problem to be solved. Many studies have now discussed in detail the identification of elements, street perception and preservation strategies for historic districts. However, the Cultural Street Vending space, which carries special urban memory connotations, has been neglected, especially the characterisation of this type of space in different time dimensions. This paper takes the Cultural Street Vending space as a research object and focuses on the perceptual differences between its market day and non-market day, aiming at grasping the perceptual characteristics and constituent elements of this type of street space in different time states, as well as the patterns of changes they undergo. This paper took the Baxian Temple, a typical Cultural Street Vending space in a historic district of Xi’an, as the research object and took 30 architecture students as the evaluators to score 33 pairs of adjectives and recall the elements of nine streets. This paper compared and analysed the differences in the structure of people’s psychological perception of the street in the state of market day and non-market day by SD method. It was found that the activities of the vendors obviously promoted people’s positive emotions, and three commonality factors including impression, vitality and morphosis were extracted through the factor analysis. Moreover, through the element recall method to understand the change in element perception on the market day, we found that the range of people’s perception was smaller on the market day and summarised the element map of the space and the element components of high, medium and low characteristics. The correlation analysis between psychological quantities and environmental elements revealed that people’s positive psychology has a positive correlation with vendors, goods and street components and a negative correlation with greening, colour and texture. This study can provide an important research basis for the development of conservation and renewal strategies for this type of Cultural Street Vending space.

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Section: Environmental Perceptionmentioning

confidence: 99%

A Study on the Perception of Local Characteristics in Cultural Street Vending Spaces, Taking Xi’an Baxian Temple as an Example

Qi,

Yue,

Guo

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

“…Traditionally, urban leisure and tourism spatial data were mostly obtained through case studies [20], participatory observation [21], in-depth interviews [35], and other methods. With the advent of the big data era, some open platforms now provide big data, such as digital footprints [36], mobile positioning data [37], geotagged photos [38], and point of interest (POI) data [39], which have changed the original paradigms around geospatial data acquisition and research methods [40]. It also provides an opportunity for the accurate measurement of urban leisure and tourism space.…”

Section: Introductionmentioning

confidence: 99%

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Qu,

Xu,

et al. 2023

Land

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Leisure and tourism spaces are shared by both residents and tourists seeking a higher quality of life. Most of the literature focuses only on the study of a particular type of leisure or tourism space in cities and lacks an overall exploration of the distribution patterns of urban leisure and tourism formats. Based on the leisure and tourism point of interest (POI) data of 11 districts in Xi’an, this paper uses geospatial analysis to examine the spatial patterns of leisure and tourism facilities and their influencing factors in Xi’an. It is found in this study that the distributions overall and the various types of leisure and tourism spaces in Xi’an show the characteristics of central urban agglomeration and sparse dispersion in the surrounding urban areas. Different types of leisure and tourism patterns have obvious spatial scale dependence, but there are differences in the scope of spatial selection. In general, the core agglomeration area has limited radiation and driving effects on the peripheral areas, and there is a prominent phenomenon of imbalance in the distribution of leisure and tourism facilities following a single industrial structure. The formation of the spatial patterns of leisure and tourism is the result of a combination of dominant factors, driving factors, safeguarding factors, and other triggering factors. Urban leisure and tourism spaces are intertwined, and the spatial balance and industrial diversification of leisure and tourism can be promoted through scientific spatial planning. This study aims to provide services for urban land planning and policy-making by revealing the spatial distribution principles of leisure and tourism sites in tourist cities as represented by Xi’an.

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“…Most studies have shown that the formation of locality originates from people's visual landscape, and its association with locality attachment can be found in the visual landscape (Altman & Low, 1992). As an important carrier of the visual landscape, the subjective perception and experience reflected in geotagged photographs not only provides a new perspective for the description of urban landscape images but also reflects the metaphorical symbolic cultural structure, that is, locality (Wang, Hu, Zhu, & Jiang, 2019).…”

Section: Introductionmentioning

confidence: 99%

Homogenization and locality of landscape characteristics in the waterfront space based on geotagged photographs

Wang

Luo

Liu

2021

River Research & Apps

Self Cite

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The urban landscape reveals the relationship between the natural evolution process and artificial intervention force in the watershed system and also represents the most direct reflection of man–land relationships in watersheds. However, the homogeneity of modern urban functions affects the expression of cultural atmospheres. As a result, quantitative and qualitative analyses of the landscape homogenization level are of great significance for considering local culture in landscape planning according to locality conditions. In this study, open geotagged photographs were assessed to determine the landscape changes and differences in the Yangtze River Basin and the spatial characteristics of locality elements in order to identify the relationship between landscape locality and urbanization. The results indicate that the landscape element level changes gradually downstream of the Yangtze River and with increasing distance from the river bank. The closer the city to the lower reaches of the Yangtze River, the less dominant the main landscape element of the city. Several landscape elements were significantly agglomerated in space, and this agglomeration distribution was attributed to the degree of urbanization.

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The locality of Beijing historic areas from a dynamic perspective based on geo-tagged photos

Cited by 5 publications

References 18 publications

A Study on the Perception of Local Characteristics in Cultural Street Vending Spaces, Taking Xi’an Baxian Temple as an Example

A Study on the Perception of Local Characteristics in Cultural Street Vending Spaces, Taking Xi’an Baxian Temple as an Example

Identifying the Spatial Patterns and Influencing Factors of Leisure and Tourism in Xi’an Based on Point of Interest (POI) Data

Homogenization and locality of landscape characteristics in the waterfront space based on geotagged photographs

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